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Eibe Frank

2 accepted papers

2026

Rethinking Memory in Continual Learning: Beyond a Monolithic Store of the Past

ICML 2026poster

Memory is a critical component in replay-based continual learning (CL). Prior research has largely treated CL memory as a monolithic store of past data, focusing on how to select and store representative past examples. However, this perspective overlooks the higher-level memory architecture that gov…

Cited by 0SourceScholar
2022

A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal

NeurIPS 2022accept

Online continual learning (OCL) aims to train neural networks incrementally from a non-stationary data stream with a single pass through data. Rehearsal-based methods attempt to approximate the observed input distributions over time with a small memory and revisit them later to avoid forgetting. Des…